Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Qaiser Chaudry"'
Autor:
Abdul Wahab Muzaffar, Muhammad Tahir, Muhammad Waseem Anwar, Qaiser Chaudry, Shamaila Rasheed Mir, Yawar Rasheed
Publikováno v:
IEEE Access, Vol 9, Pp 32689-32712 (2021)
E-learning in higher education is exponentially increased during the past decade due to its inevitable benefits in critical situations like natural disasters (e.g. COVID-19 pandemic etc.) and war circumstances. The reliable, fair, and seamless execut
Externí odkaz:
https://doaj.org/article/7027136bec9a4da59fd678b24dd850ca
Autor:
Sheikh Waqas Akhtar, Saad Rehman, Mahmood Akhtar, Muazzam A. Khan, Farhan Riaz, Qaiser Chaudry, Rupert Young
Publikováno v:
IEEE Access, Vol 4, Pp 9501-9511 (2016)
It is of significant importance for any classification and recognition system, which claims near or better than human performance to be immune to small perturbations in the dataset. Researchers found out that neural networks are not very robust to sm
Externí odkaz:
https://doaj.org/article/1d1a9520926d4b029069122640b77591
Publikováno v:
Journal of Pathology Informatics, Vol 2, Iss 2, Pp 6-6 (2011)
Background: Registration of high-resolution tissue images is a critical step in the 3D analysis of protein expression. Because the distance between images (~4-5μm thickness of a tissue section) is nearly the size of the objects of interest (~10-20μ
Externí odkaz:
https://doaj.org/article/065aa5754f3f4776a2e7f074de90bb56
Autor:
Abdul Wahab Muzaffar, Muhammad Tahir, Muhammad Waseem Anwar, Qaiser Chaudry, Shamaila Rasheed Mir, Yawar Rasheed
Publikováno v:
IEEE Access, Vol 9, Pp 32689-32712 (2021)
E-learning in higher education is exponentially increased during the past decade due to its inevitable benefits in critical situations like natural disasters, and pandemic. The reliable, fair, and seamless execution of online exams in E-learning is h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe6d2b89475994d66b90782d5ace62e
Publikováno v:
Pattern Recognition and Tracking XXIX.
In a remote scene environment consisting of multiple objects and miscellaneous scenarios, detecting an object of interest is a troublesome task especially while tracking the object over successive frames. Numerous methods have been proposed over the
Autor:
Sara Tehsin, Omer Saeed, Muhammad Abbas, Qaiser Chaudry, Saad Rehman, Ahmed Bilal, Rupert Young
Publikováno v:
SPIE Proceedings.
Correlation filters are a well established means for target recognition tasks. However, the unintentional effect of circular correlation has a negative influence on the performance of correlation filters as they are implemented in frequency domain. T
Publikováno v:
ICASSP
The goal of this study is to accurately distinguish between finger tremors of Parkinson's disease and other movement disorders using a tri-axial gyroscope. Finger tremor is specifically studied here as compared to hand tremor since farther distance f
Publikováno v:
Journal of signal processing systems. 55(1)
We present a new image quantification and classification method for improved pathological diagnosis of human renal cell carcinoma. This method combines different feature extraction methodologies, and is designed to provide consistent clinical results
Autor:
Farhan Riaz, Sheikh Waqas Akhtar, Qaiser Chaudry, Muazzam A. Khan, Saad Rehman, Mahmood Akhtar, Rupert Young
Publikováno v:
IEEE Access, Vol 4, Pp 9501-9511 (2016)
It is of significant importance for any classification and recognition system, which claims near or better than human performance to be immune to small perturbations in the dataset. Researchers found out that neural networks are not very robust to sm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5768d193f8088251f4f91c8cfa4a60f3
http://sro.sussex.ac.uk/id/eprint/66081/4/07795200.pdf
http://sro.sussex.ac.uk/id/eprint/66081/4/07795200.pdf
Autor:
Qaiser Chaudry, Saad Rehman, Afia Asif, Sara Tehsin, Muhammad Abbas, Rupert Young, Ahmad Bilal Awan
Publikováno v:
Optical Pattern Recognition XXVII.
Sensitivity to the variations in the reference image is a major concern when recognizing target objects. A combinational framework of correlation filters and logarithmic transformation has been previously reported to resolve this issue alongside cate